3 Quality Control Flashcards

(26 cards)

1
Q

True or false - QC activities only take place in analytical activities?

A

False - QC activities also takes place outside of analytical activities (ex - transcribing the correct information in pre - analytical)

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2
Q

What are the 2 types of statistical quality control?

A
  1. Statistical QCs - running controlled samples - has known value with patients’ samples, using control charts. is use to detect error in the procedure
  2. Non- statistical QC - procedures in place that maintains and improve performance like calibrating, doing monthly maintenance is used to maintain and improve performance
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3
Q

Define analytical run

A

Is a set interval at which the performance (accuracy and precision) of an analyte is to remain stable. Can is defined by time

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4
Q

Define control range

A

Is the acceptable range of QC values considering normal day to day variations. It is established for each analyte using statistical procedures

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5
Q

What does it mean when a QC value falls outside of the control range?

A

That means that an error is present in the analytical system

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6
Q

How many measurements over how many days should be used to establish an initial control range?

A

A minimum of 20 measurements over at least 10 days

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7
Q

In a normal Gaussian distribution, which range is most often selected as the limit for control range?

A

The -/+ 2s range

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8
Q

What does the -/+ 2s range mean? What is another name for the -/+ 2s range?

A

It means that 95% of the control values will fall in between the -/+ 2s range. Another name for the -/+ 2s range is the 95% confidence interval

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9
Q

What are quality control charts/ Levey - Jennings charts used for?

A

To quickly review and inspect the control data

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10
Q

If a control value falls out of the range, what are the 4 things to do?

A
  1. Document the control value
  2. Investigate/ resolve the out of control value
  3. Write a corrective action
  4. Rerun if necessary Control values must be in range unless if it is a 1 2s warning rule
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11
Q

Overtime, what do the patterns in control chart reveal?

A

The types of errors present in the method - this can assist in isolating the resolving the source of the error

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12
Q

On a control chart, what does random error look like? What is random error associated with?

A

It will look like increased/ a wide scattered on a control chart

Random error is associated with decreased precision

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13
Q

Where does random error come from?

A

From unpredictable sources in a method

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14
Q

What does systematic error look like on a control chart?
What is systematic error associated with?

A

Systematic error will look like a shift / a trend (can be increase or decrease) in the chart

Systematic error is associated with decrease accuracy

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15
Q

Where does systematic error come from?

A

From sources that have consistent effects on the control values/ QCs being ran

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16
Q

Define false rejection

A

It is when a analytical run gets rejected even though there is no issues with the method performance.

With a 95% confidence interval, this means that 5% of the runs will fall out of that 95% confidence interval

17
Q

What does Westgard Rules enable?

A

It enables us to detect actual errors/ violations and minimizes false rejections/ repeat runs

18
Q

Is this rule due to systematic or random error - 1 2s

A

Systematic error

19
Q

Is this rule due to systematic or random error - 1 3s

20
Q

Is this rule due to systematic or random error - 2 2s

A

Systematic error

21
Q

Is this rule due to systematic or random error - R 4s

22
Q

Is this rule due to systematic or random error - 4 1s

A

Systematic error

23
Q

Is this rule due to systematic or random error - 10x

A

Systematic error

24
Q

Is this rule due to systematic or random error - 7T

A

Systematic error

25
What would happen to the number of false rejections (Pfr) and the number of error detection (Ped) if more controls were ran?
Both number of false rejections (Pfr) and number of error detection (Ped) would increase
26
What would happen to the number of false rejections (Pfr) and the number of error detection (Ped) if the control limits were increased?
Both number of false rejections (Pfr) and number of error detection (Ped) would decrease